Referring Expression Segmentation On A2D

评估指标

IoU mean

IoU overall

Precision@0.5

Precision@0.6

Precision@0.7

Precision@0.8

Precision@0.9

评测结果

各个模型在此基准测试上的表现结果

									Paper Title	Repository
SOC (Video-Swin-B)	0.573	0.725	0.807	0.851	0.827	0.765	0.607	0.252	SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
SgMg (Video-Swin-B)	0.585	0.720	0.799	0.843	0.822	0.767	0.617	0.259	Spectrum-guided Multi-granularity Referring Video Object Segmentation
ReferFormer (Video-Swin-B)	0.550	0.703	0.786	0.831	0.804	0.741	0.579	0.212	Language as Queries for Referring Video Object Segmentation
SOC (Video-Swin-T)	0.504	0.669	0.747	0.79	0.756	0.687	0.535	0.195	SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation
ClawCraneNet	-	0.655	0.644	0.704	0.677	0.617	0.489	0.171	ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation	-
MTTR (w=10)	0.461	0.64	0.72	0.754	0.712	0.638	0.485	0.169	End-to-End Referring Video Object Segmentation with Multimodal Transformers
MANET	0.471	0.632	0.726	0.734	0.682	0.579	0.389	0.132	Multi-Attention Network for Compressed Video Referring Object Segmentation
MTTR (w=8)	0.447	0.618	0.702	0.721	0.684	0.607	0.456	0.164	End-to-End Referring Video Object Segmentation with Multimodal Transformers
RefVOS	-	0.599	0.599	0.495	-	-	-	0.064	RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
VLIDE	0.469	0.598	0.714	0.702	0.663	0.585	0.428	0.151	Deeply Interleaved Two-Stream Encoder for Referring Video Segmentation	-
Locater	0.465	0.597	0.69	0.709	0.64	0.525	0.351	0.101	Local-Global Context Aware Transformer for Language-Guided Video Segmentation
CMPC-V (I3D)	0.404	0.573	0.653	0.655	0.592	0.506	0.342	0.098	Cross-Modal Progressive Comprehension for Referring Segmentation
Hui et al.	0.399	0.561	0.662	0.654	0.589	0.497	0.333	0.091	Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation	-
mmmmtbvs	0.419	0.558	0.673	0.645	0.597	0.523	0.375	0.13	Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation
AAMN	0.396	0.552	0.617	0.681	0.629	0.523	0.296	0.029	Actor and Action Modular Network for Text-based Video Segmentation	-
CMDy	0.333	0.531	0.623	0.607	0.525	0.405	0.235	0.045	Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries	-
PRPE	0.388	0.529	0.661	0.634	0.579	0.483	0.322	0.083	Polar Relative Positional Encoding for Video-Language Segmentation	-
HINet	-	0.529	0.679	0.611	0.559	0.486	0.342	0.12	Hierarchical interaction network for video object segmentation from referring expressions	-
CMPC-V (R2D)	0.351	0.515	0.649	0.590	0.527	0.434	0.284	0.068	Cross-Modal Progressive Comprehension for Referring Segmentation
RefVOS	-	0.497	0.672	0.578	0.534	0.456	0.311	0.093	Hierarchical interaction network for video object segmentation from referring expressions	-

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Referring Expression Segmentation On A2D

评估指标

评测结果